Pinned Repositories
.github-sn
Profile, community health files, and shared workflows for ibm-skills-network
basic-chat-interface
Best-README-Template
An awesome README template to jumpstart your projects!
chasemcdo
chasemcdo.github.io
ECE324-Data
ECE421
ECE444-F2023-Assignment1
sn_filterable
A fully featured filtering gem designed for Ruby on Rails apps with Postgres databases
langchainjs
🦜🔗 Build context-aware reasoning applications 🦜🔗
chasemcdo's Repositories
chasemcdo/.github-sn
Profile, community health files, and shared workflows for ibm-skills-network
chasemcdo/basic-chat-interface
chasemcdo/Best-README-Template
An awesome README template to jumpstart your projects!
chasemcdo/chasemcdo
chasemcdo/chasemcdo.github.io
chasemcdo/ECE324-Data
chasemcdo/ECE421
chasemcdo/ECE444-F2023-Assignment1
chasemcdo/ECE444-F2023-Lab1
chasemcdo/epaiwebsite
chasemcdo/gpt4all
gpt4all: an ecosystem of open-source chatbots trained on a massive collections of clean assistant data including code, stories and dialogue
chasemcdo/ECE444-F2023-Lab2
chasemcdo/ECE444-F2023-Lab5
chasemcdo/examples
Enjoy our curated collection of examples and solutions. Use these patterns to build your own robust and scalable applications.
chasemcdo/langchain
âš¡ Building applications with LLMs through composability âš¡
chasemcdo/langchainjs
chasemcdo/langsmith-docs
Documentation for langsmith
chasemcdo/langsmith-sdk
LangSmith Client SDK Implementations
chasemcdo/loraplus
chasemcdo/mie429-capstone
chasemcdo/paigemcdo.github.io
vCard is a fully responsive personal portfolio website, responsive for all devices.
chasemcdo/parsons-problem
chasemcdo/PraxisIII
chasemcdo/qlora
QLoRA: Efficient Finetuning of Quantized LLMs
chasemcdo/react-tags
A fantastically simple tagging component for your projects
chasemcdo/ruff-action
A GitHub Action for Ruff
chasemcdo/spin
The official implementation of Self-Play Fine-Tuning (SPIN)
chasemcdo/tailwindcss.com
The Tailwind CSS documentation website.
chasemcdo/Tip-Adapter
chasemcdo/VDT-Adapter
This repository contains the code and datasets for our ICCV-W paper 'Enhancing CLIP with GPT-4: Harnessing Visual Descriptions as Prompts'